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김종범,김경환,류성희,김민수,정종수,윤성택,배귀남 한국냄새환경학회 2015 실내환경 및 냄새 학회지 Vol.14 No.2
It is well known that smoking generates harmful air pollutants. With smoking in buildings as well as in the streets prohibited, the need for smoking rooms has emerged. In this study, particle and CO contamination in a 63.6 m3 smoking room was experimentally investigated using Korean tobacco. Tobacco smoking was artificially simulated using a smoking machine. The number and size distribution of particles ranging from 10-420 nm and 0.25-32 μm were measured using a Nanoscan (TSI model 3910) and a portable aerosol spectrometer (Grimm model 1.109), respectively. CO concentration was also monitored using an IAQ monitor (Graywolf IAQ-Xtra 610). Four tobaccos were simultaneously smoked in each experiment, and the experiment was repeated four times. Maximum CO concentrations of 7-10 ppm were observed and high concentrations of particles (176,000-1,115,000 particles/cm3 for 10-420 nm, 3,700-5,200 particles/cm3 for 0.25-32 μm) were also monitored. The dominant size of tobacco particles was about 100 nm in diameter.
방사성동위원소 열전발전기 개발을 위한 일차원 열전달 모델 평가
김종범,손광재,홍진태,박종한 한국항공우주학회 2015 한국항공우주학회 학술발표회 논문집 Vol.2015 No.11
동위원소 열전발전기(RTG)에 대해 제벡 효과, 펠티에 효과 및 톰슨효과를 포함한 일차원 모델을 구성하고 평가하였다. 일차원 열전달 모델에서 열전 특성은 온도 구간 평균을 사용하였다. RTG 모델은 120W 열출력 선원, TAGS85(p형) 및 PbTeBi(n형)로 구성된 열전모듈, 단열재, 열 방출기 등으로 되어있다. RTG의 수학 모델은 열 방정식과 열전 온도 특성식 등으로 구성된 비선형 연립방정식이다. 일차원 수학모델의 연립 방정식은 Newton-Raphson 방법으로 풀이된다. 일차원 모델의 평가를 위해 동일 조건의 3차원 수치해석 결과와 비교하였다. 부하 변동에 따른 전력 및 톰슨효과에 대한 비교평가를 수행하였다. 비교결과 부하 변동에 따른 출력 전력의 차이가 2.0%이내로 나타났다. 톰슨효과에 대해서는 톰슨효과를 고려한 것과 고려하지 않은 경우의 차이가 최대 1.37%로 나타났다. In this paper, a 1D RTG model including the Seebeck effect, Peltier effect, and Thomson effect is introduced. Thermal properties are taken as averages over the temperature range. The RTG model includes a 120W heat source, a thermoelectric generator with a p-type leg (TAGS85) and an n-type leg (PbTeBi), an insulation system and a heat rejection system. The mathematical model consists of simultaneous nonlinear equations for the heat balance and thermal properties. It is solved using the Newton-Raphson method. The 1D model is compared with a numerical analysis for 3D model. The comparison results show that differences of power predictions between the temperature averaging 1D model and nonlinear 3D model are less than 2.09%. For the Thomson effect, power prediction from the model with Thomson heating is 1.37% higher than that of the model without Thomson heating at short circuit and the differences decrease as the current decreases.